where we define \(CL(X,Y)\)  to be a curve length similarity measure which
computes the distance from \(X_{0}\)  to each \(X_{i}\)  as a ratio to the total curve
length, and then uses this value to compute a pairwise difference with \(Y_{i}\) ; the
value of \(CL(X,Y)\)  is the sum of these differences [1]}. This measure
was chosen instead of the \(DTW(X,Y)\)  measure used in ssec:meas-flexibility
because \(B_{saa}(\mathcal {N},\kappa )\)  as we have defined it does not consider how slowly or
quickly \(P(\mathcal {N},\kappa ,t)\)  adapts to temporally varying sensor and actuator
noise, only how closely it matches \(P_{ideal}(\mathcal {N},\kappa ,t)\)  in an
absolute, time-invariant way.
